Senior Machine Learning Engineer, Platform
- Lead the design and implementation of components across our ML platform, including model training pipelines, serving infrastructure, feature stores, and monitoring frameworks.
- Drive engineering projects from technical planning through delivery and long-term maintenance.
- Collaborate closely with data scientists, ML engineers, and infrastructure teams to align platform solutions with real-world use cases and evolving business needs.
- Author and review technical designs for infrastructure that supports scalable, automated, and reproducible ML workflows.
- Mentor junior engineers and contribute to raising the technical quality of the team through code reviews, design discussions, and knowledge sharing.
- Contribute to the stability, performance, and observability of our ML systems by designing for production-readiness and supporting incident resolution.
- Stay current with industry trends in MLOps and ML infrastructure and apply emerging best practices to improve platform efficiency and usability.
- 4+ years of experience in ML Platform, MLOps, Data Engineering, or Infrastructure roles with a focus on platform development.
- Proficiency in Python and experience with ML/DS libraries (e.g., scikit-learn, pandas, MLflow), along with strong software engineering fundamentals.
- Experience with ML orchestration and CI/CD tooling (e.g., Airflow, MLflow, Argo, GitHub Actions or Jenkins).
- Familiarity with cloud-native infrastructure (AWS, GCP, or Azure), containerization (Docker), orchestration (Kubernetes), and IaC tools (Terraform, Pulumi).
- Experience working with data platforms such as Databricks or Spark, and a strong understanding of distributed data processing is a bonus.
- A track record of owning complex technical projects and collaborating effectively across teams.
- Strong communication skills and the ability to write clear documentation and articulate technical tradeoffs.
- Bachelor's or advanced degree in Computer Science, Engineering, Data Science, or a related field.
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